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A Universal Fast Algorithm for Sensitivity-Based Structural Damage Detection

机译:基于灵敏度的结构损伤检测通用快速算法

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摘要

Structural damage detection using measured response data has emerged as a new research area in civil, mechanical, and aerospace engineering communities in recent years. In this paper, a universal fast algorithm is presented for sensitivity-based structural damage detection, which can quickly improve the calculation accuracy of the existing sensitivity-based technique without any high-order sensitivity analysis or multi-iterations. The key formula of the universal fast algorithm is derived from the stiffness and flexibility matrix spectral decomposition theory. With the introduction of the key formula, the proposed method is able to quickly achieve more accurate results than that obtained by the original sensitivity-based methods, regardless of whether the damage is small or large. Three examples are used to demonstrate the feasibility and superiority of the proposed method. It has been shown that the universal fast algorithm is simple to implement and quickly gains higher accuracy over the existing sensitivity-based damage detection methods.
机译:近年来,使用测得的响应数据进行结构损伤检测已成为土木,机械和航空航天工程界的一个新研究领域。本文提出了一种用于基于灵敏度的结构损伤检测的通用快速算法,该算法可以快速提高现有基于灵敏度的技术的计算精度,而无需进行任何高阶灵敏度分析或多次迭代。通用快速算法的关键公式来自刚度和柔度矩阵谱分解理论。通过引入关键公式,无论损害是大还是小,与原始的基于灵敏度的方法相比,所提出的方法都能够快速获得更准确的结果。通过三个例子说明了该方法的可行性和优越性。结果表明,与现有的基于灵敏度的损伤检测方法相比,通用快速算法易于实现,并且可以快速获得更高的精度。

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